At Softchoice, a World Wide Technology (WWT) company, we work together to make a new world happen. As an IT solutions provider serving U.S. commercial and SMB organizations, as well as the entire Canadian market, we help organizations turn ambition into real‑world outcomes. We do this through the delivery of secure cloud, AI, software and digital workplace solutions that enable agility, innovation and growth.

With a highly engaged, high-performing team, we are certified as a Great Place to Work® in both Canada and the United States, and have been recognized as a Best Workplace in Canada for more than 20 years. We stand proudly for our people and their success through career development and advancement, and continuously strive to do what’s good for our people and communities.

As part of WWT, we connect customers to the global scale, advanced innovation, world-class partnerships, and deep expertise of a leader in AI and digital transformation. This includes access to WWT’s Advanced Technology Center (ATC), a collaborative ecosystem featuring state-of-the‑art hardware and software that enables customers and partners to conceptualize, test, and validate cutting-edge solutions before deploying them at scale.

The Impact You’ll Have:

We are seeking a Senior Technical Solutions Architect — AI to serve as a hands‑on, platform‑agnostic technical architect for our strategic AI engagements. This person sits at the intersection of customer strategy, applied AI engineering, and modern software delivery. They translate ambiguous business problems into working prototypes, scalable reference architectures, and production‑grade solutions across public‑cloud hyperscaler AI platforms and sovereign (on‑premise / private) AI environments.





The ideal candidate is equally comfortable whiteboarding an agentic architecture with a CIO, writing the proof‑of‑concept code that proves it works, and guiding a client engineering team through the secure path to production. They are vendor‑fluent but vendor‑neutral — recommending the right tool for the workload, the data, the risk profile, and the budget.

What You’ll Do:

Solutioning & Architecture

- Architect sovereign / on‑premise AI solutions using stacks such as NVIDIA AI Enterprise (NIM, NeMo, Blueprints), Dell AI Factory, HPE Private Cloud AI, Red Hat OpenShift AI, Run:ai, and open‑source model serving (vLLM, TGI, Ollama) — for clients with data residency, regulatory, IP, or air‑gapped requirements.
- Design end‑to‑end AI solutions spanning Generative AI (RAG, CAG, GraphRAG, fine‑tuning, model distillation) and agentic AI (tool‑using agents, multi‑agent orchestration, MCP‑based integrations).
- Understanding of hybrid architecture across all major hyperscaler AI stacks — AWS (Bedrock, SageMaker, Q), Microsoft Azure (Azure AI Foundry, Azure OpenAI), and Google Cloud (Vertex AI, Gemini)
- Develop reusable reference architectures, decision frameworks, and trade‑off analyses (cost, latency, accuracy, governance, sovereignty) that scale across the practice.

Client Engagement & Enablement





- Serve as the senior technical voice in client conversations — from executive briefings through deep technical design sessions.
- Partner with sales, delivery, and practice leadership to scope statements of work, estimate effort, and de‑risk delivery.
- Mentor architects, engineers, and consultants across the broader AI practice; raise the technical bar through code reviews, internal enablement, and reusable assets.
- Stay ahead of the field — evaluate emerging models, frameworks, and protocols (e.g., MCP, A2A, ACP, new agent frameworks, new sovereign AI stacks) and bring well‑reasoned points of view back to the practice.

What You’ll Bring To The Table:

- 8+ years of progressive experience in software engineering, solutions / Enterprise architecture, or applied AI/ML, with at least 2+ years in a hands‑on Generative AI or agentic AI role.
- Professional fluency in French and English, written and spoken (required) — able to lead client workshops, executive presentations, and technical documentation in both languages.
- Experience designing sovereign / on‑premise AI solutions, including private model serving (NVIDIA NIM / NeMo, vLLM, TGI, Ollama), enterprise AI platforms (NVIDIA AI Enterprise, Red Hat OpenShift AI, Dell AI Factory, HPE Private Cloud AI, Run:ai), and on‑premise vector / graph stores.
- Solid understanding of the infrastructure behind on‑premise AI: GPU architecture and capacity planning, inference optimization (quantization, batching, KV‑cache management), high‑performance networking and storage, and Kubernetes‑based GPU scheduling.
- Strong understanding of data sovereignty requirements and controls — data residency, privacy regulation (e.g., PIPEDA, Quebec Law

📌 Sr. Technical Solutions Architect, AI/Data (Toronto)
🏢 Softchoice
📍 Toronto